- Experience
- 2 – 4 years
- Pay
- Not disclosed
- Education
- Not specified
- Location
- Gurgaon, India
- Work mode
- On-site
- Job type
- Full-time
About this role
PayU is a fintech company that offers payments and financial services in many fast-growing markets. The data engineering team builds the data platforms behind its business decisions. This role works on near-real-time pipelines and lakehouse systems.
What you will do
- Build and maintain near-real-time pipelines with Kafka, Flink, Python and SQL
- Build Flink-based data lake solutions on Apache Iceberg
- Build data models and data marts for reporting
- Optimize workloads in Spark, Trino and StarRocks
- Write and tune efficient SQL queries
- Add data quality checks, monitoring and alerts
- Troubleshoot pipeline issues and find root causes
- Write documented code and join code reviews
What the employer expects
- 2-4 years in data engineering or software engineering
- Strong Python and SQL
- Good grasp of data structures, algorithms and distributed systems
- Experience with ETL/ELT pipelines
- Experience with data warehouses, data lakes or lakehouses
- Knowledge of data modeling and query tuning
- Hands-on with cloud platforms, preferably AWS
- Experience with Git, code reviews and CI/CD
Benefits
- Access to 5,000+ training courses
- Work with modern data technologies at global scale
- Work closely with experienced engineers
Skills
- Python
- SQL
- Apache Kafka
- Apache Flink
- Apache Iceberg
- Apache Spark
- Trino
- StarRocks
- AWS
- Debezium
Apply on the employer's site
The application opens on PayU careers page. Dev Portal Notes does not collect your application or charge a fee.
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